Data compression plays a vital role in datamanagement and information theory by reducing redundancy.However,it lacks built-in security features such as secret keys or password-based access control,leaving sensitive da...Data compression plays a vital role in datamanagement and information theory by reducing redundancy.However,it lacks built-in security features such as secret keys or password-based access control,leaving sensitive data vulnerable to unauthorized access and misuse.With the exponential growth of digital data,robust security measures are essential.Data encryption,a widely used approach,ensures data confidentiality by making it unreadable and unalterable through secret key control.Despite their individual benefits,both require significant computational resources.Additionally,performing them separately for the same data increases complexity and processing time.Recognizing the need for integrated approaches that balance compression ratios and security levels,this research proposes an integrated data compression and encryption algorithm,named IDCE,for enhanced security and efficiency.Thealgorithmoperates on 128-bit block sizes and a 256-bit secret key length.It combines Huffman coding for compression and a Tent map for encryption.Additionally,an iterative Arnold cat map further enhances cryptographic confusion properties.Experimental analysis validates the effectiveness of the proposed algorithm,showcasing competitive performance in terms of compression ratio,security,and overall efficiency when compared to prior algorithms in the field.展开更多
Satellite images are widely used for remote sensing and defence applications,however,they are subject to a variety of threats.To ensure the security and privacy of these images,theymust be watermarked and encrypted be...Satellite images are widely used for remote sensing and defence applications,however,they are subject to a variety of threats.To ensure the security and privacy of these images,theymust be watermarked and encrypted before communication.Therefore,this paper proposes a novel watermarked satellite image encryption scheme based on chaos,Deoxyribonucleic Acid(DNA)sequence,and hash algorithm.The watermark image,DNA sequence,and plaintext image are passed through the Secure Hash Algorithm(SHA-512)to compute the initial condition(keys)for the Tangent-Delay Ellipse Reflecting Cavity Map(TD-ERCS),Henon,and Duffing chaotic maps,respectively.Through bitwise XOR and substitution,the TD-ERCS map encrypts the watermark image.The ciphered watermark image is embedded in the plaintext image.The embedded plaintext image is permuted row-wise and column-wise using the Henon chaotic map.The permuted image is then bitwise XORed with the values obtained from the Duffing map.For additional security,the XORed image is substituted through a dynamic S-Box.To evaluate the efficiency and performance of the proposed algorithm,several tests are performed which prove its resistance to various types of attacks such as brute-force and statistical attacks.展开更多
基金the Deanship of Graduate Studies and Scientific Research at Qassim University for financial support(QU-APC-2025).
文摘Data compression plays a vital role in datamanagement and information theory by reducing redundancy.However,it lacks built-in security features such as secret keys or password-based access control,leaving sensitive data vulnerable to unauthorized access and misuse.With the exponential growth of digital data,robust security measures are essential.Data encryption,a widely used approach,ensures data confidentiality by making it unreadable and unalterable through secret key control.Despite their individual benefits,both require significant computational resources.Additionally,performing them separately for the same data increases complexity and processing time.Recognizing the need for integrated approaches that balance compression ratios and security levels,this research proposes an integrated data compression and encryption algorithm,named IDCE,for enhanced security and efficiency.Thealgorithmoperates on 128-bit block sizes and a 256-bit secret key length.It combines Huffman coding for compression and a Tent map for encryption.Additionally,an iterative Arnold cat map further enhances cryptographic confusion properties.Experimental analysis validates the effectiveness of the proposed algorithm,showcasing competitive performance in terms of compression ratio,security,and overall efficiency when compared to prior algorithms in the field.
基金supported by the Deanship of Scientific Research at King Khalid University for funding this work through the large group research project under grant number RGP2/461/45the Deanship of Scientific Researchat Northern Border University,Arar,Saudi Arabia for funding this research work through the project number NBU-FFR-2025-3030-05.
文摘Satellite images are widely used for remote sensing and defence applications,however,they are subject to a variety of threats.To ensure the security and privacy of these images,theymust be watermarked and encrypted before communication.Therefore,this paper proposes a novel watermarked satellite image encryption scheme based on chaos,Deoxyribonucleic Acid(DNA)sequence,and hash algorithm.The watermark image,DNA sequence,and plaintext image are passed through the Secure Hash Algorithm(SHA-512)to compute the initial condition(keys)for the Tangent-Delay Ellipse Reflecting Cavity Map(TD-ERCS),Henon,and Duffing chaotic maps,respectively.Through bitwise XOR and substitution,the TD-ERCS map encrypts the watermark image.The ciphered watermark image is embedded in the plaintext image.The embedded plaintext image is permuted row-wise and column-wise using the Henon chaotic map.The permuted image is then bitwise XORed with the values obtained from the Duffing map.For additional security,the XORed image is substituted through a dynamic S-Box.To evaluate the efficiency and performance of the proposed algorithm,several tests are performed which prove its resistance to various types of attacks such as brute-force and statistical attacks.
